Cargando…
admixr—R package for reproducible analyses using ADMIXTOOLS
SUMMARY: We present a new R package admixr, which provides a convenient interface for performing reproducible population genetic analyses (f(3), D, f(4), f(4)-ratio, qpWave and qpAdm), as implemented by command-line programs in the ADMIXTOOLS software suite. In a traditional ADMIXTOOLS workflow, the...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736366/ https://www.ncbi.nlm.nih.gov/pubmed/30668635 http://dx.doi.org/10.1093/bioinformatics/btz030 |
_version_ | 1783450503643922432 |
---|---|
author | Petr, Martin Vernot, Benjamin Kelso, Janet |
author_facet | Petr, Martin Vernot, Benjamin Kelso, Janet |
author_sort | Petr, Martin |
collection | PubMed |
description | SUMMARY: We present a new R package admixr, which provides a convenient interface for performing reproducible population genetic analyses (f(3), D, f(4), f(4)-ratio, qpWave and qpAdm), as implemented by command-line programs in the ADMIXTOOLS software suite. In a traditional ADMIXTOOLS workflow, the user must first generate a set of text configuration files tailored to each individual analysis, often using a combination of shell scripting and manual text editing. The non-tabular output files then need to be parsed to extract values of interest prior to further analyses. Our package simplifies this process by automating all low-level configuration and parsing steps, making analyses as simple as running a single R command. Furthermore, we provide a set of R functions for processing, filtering and manipulating datasets in the EIGENSTRAT format. By unifying all steps of the workflow under a single R framework, this package enables the automation of analytic pipelines, significantly improving the reproducibility of population genetic studies. AVAILABILITY AND IMPLEMENTATION: The source code of the R package is available under the MIT license. Installation instructions, reference manual and a tutorial can be found on the package website at https://bioinf.eva.mpg.de/admixr. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6736366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-67363662019-09-16 admixr—R package for reproducible analyses using ADMIXTOOLS Petr, Martin Vernot, Benjamin Kelso, Janet Bioinformatics Applications Notes SUMMARY: We present a new R package admixr, which provides a convenient interface for performing reproducible population genetic analyses (f(3), D, f(4), f(4)-ratio, qpWave and qpAdm), as implemented by command-line programs in the ADMIXTOOLS software suite. In a traditional ADMIXTOOLS workflow, the user must first generate a set of text configuration files tailored to each individual analysis, often using a combination of shell scripting and manual text editing. The non-tabular output files then need to be parsed to extract values of interest prior to further analyses. Our package simplifies this process by automating all low-level configuration and parsing steps, making analyses as simple as running a single R command. Furthermore, we provide a set of R functions for processing, filtering and manipulating datasets in the EIGENSTRAT format. By unifying all steps of the workflow under a single R framework, this package enables the automation of analytic pipelines, significantly improving the reproducibility of population genetic studies. AVAILABILITY AND IMPLEMENTATION: The source code of the R package is available under the MIT license. Installation instructions, reference manual and a tutorial can be found on the package website at https://bioinf.eva.mpg.de/admixr. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-09-01 2019-01-22 /pmc/articles/PMC6736366/ /pubmed/30668635 http://dx.doi.org/10.1093/bioinformatics/btz030 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Petr, Martin Vernot, Benjamin Kelso, Janet admixr—R package for reproducible analyses using ADMIXTOOLS |
title |
admixr—R package for reproducible analyses using ADMIXTOOLS |
title_full |
admixr—R package for reproducible analyses using ADMIXTOOLS |
title_fullStr |
admixr—R package for reproducible analyses using ADMIXTOOLS |
title_full_unstemmed |
admixr—R package for reproducible analyses using ADMIXTOOLS |
title_short |
admixr—R package for reproducible analyses using ADMIXTOOLS |
title_sort | admixr—r package for reproducible analyses using admixtools |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736366/ https://www.ncbi.nlm.nih.gov/pubmed/30668635 http://dx.doi.org/10.1093/bioinformatics/btz030 |
work_keys_str_mv | AT petrmartin admixrrpackageforreproducibleanalysesusingadmixtools AT vernotbenjamin admixrrpackageforreproducibleanalysesusingadmixtools AT kelsojanet admixrrpackageforreproducibleanalysesusingadmixtools |